Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry
Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with the immediate microenvironment in blood, vasculature, and tissues alters platelet morphology. The quantification of platelet morphodynamics by geometri...
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oai:doaj.org-article:9177a910c501435c9903ea692d1e550f2021-11-25T17:09:11ZEffect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry10.3390/cells101129322073-4409https://doaj.org/article/9177a910c501435c9903ea692d1e550f2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4409/10/11/2932https://doaj.org/toc/2073-4409Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with the immediate microenvironment in blood, vasculature, and tissues alters platelet morphology. The quantification of platelet morphodynamics by geometrical parameters (morphometry) can provide important insights into how platelets sense and respond to stimulatory cues in their vicinity. However, the extraction of platelet shapes from phase contrast microscopy images by conventional image processing is difficult. Here, we used a convolutional neural network (CNN) to develop a deep-learning-based approach for the unbiased extraction of information on platelet morphodynamics by phase contrast microscopy. We then investigated the effect of normal and oxidized low-density lipoproteins (LDL, oxLDL) on platelet morphodynamics, spreading, and haptotactic migration. Exposure of platelets to oxLDL led to a decreased spreading area and rate on fibrinogen, accompanied by increased formation of filopodia and impaired formation of lamellipodia. Haptotactic platelet migration was affected by both LDL and oxLDL in terms of decreased migration velocity and reduced directional persistence. Our results demonstrate the use of deep learning in investigating platelet morphodynamics and reveal differential effects of LDL and oxLDL on platelet morphology and platelet–matrix interaction.Jan SeifertHendrik von EysmondtMadhumita ChatterjeeMeinrad GawazTilman E. SchäfferMDPI AGarticleplateletdeep learningneural networkoxLDLplatelet shapeplatelet migrationBiology (General)QH301-705.5ENCells, Vol 10, Iss 2932, p 2932 (2021) |
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platelet deep learning neural network oxLDL platelet shape platelet migration Biology (General) QH301-705.5 |
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platelet deep learning neural network oxLDL platelet shape platelet migration Biology (General) QH301-705.5 Jan Seifert Hendrik von Eysmondt Madhumita Chatterjee Meinrad Gawaz Tilman E. Schäffer Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
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Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with the immediate microenvironment in blood, vasculature, and tissues alters platelet morphology. The quantification of platelet morphodynamics by geometrical parameters (morphometry) can provide important insights into how platelets sense and respond to stimulatory cues in their vicinity. However, the extraction of platelet shapes from phase contrast microscopy images by conventional image processing is difficult. Here, we used a convolutional neural network (CNN) to develop a deep-learning-based approach for the unbiased extraction of information on platelet morphodynamics by phase contrast microscopy. We then investigated the effect of normal and oxidized low-density lipoproteins (LDL, oxLDL) on platelet morphodynamics, spreading, and haptotactic migration. Exposure of platelets to oxLDL led to a decreased spreading area and rate on fibrinogen, accompanied by increased formation of filopodia and impaired formation of lamellipodia. Haptotactic platelet migration was affected by both LDL and oxLDL in terms of decreased migration velocity and reduced directional persistence. Our results demonstrate the use of deep learning in investigating platelet morphodynamics and reveal differential effects of LDL and oxLDL on platelet morphology and platelet–matrix interaction. |
format |
article |
author |
Jan Seifert Hendrik von Eysmondt Madhumita Chatterjee Meinrad Gawaz Tilman E. Schäffer |
author_facet |
Jan Seifert Hendrik von Eysmondt Madhumita Chatterjee Meinrad Gawaz Tilman E. Schäffer |
author_sort |
Jan Seifert |
title |
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
title_short |
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
title_full |
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
title_fullStr |
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
title_full_unstemmed |
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry |
title_sort |
effect of oxidized ldl on platelet shape, spreading, and migration investigated with deep learning platelet morphometry |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/9177a910c501435c9903ea692d1e550f |
work_keys_str_mv |
AT janseifert effectofoxidizedldlonplateletshapespreadingandmigrationinvestigatedwithdeeplearningplateletmorphometry AT hendrikvoneysmondt effectofoxidizedldlonplateletshapespreadingandmigrationinvestigatedwithdeeplearningplateletmorphometry AT madhumitachatterjee effectofoxidizedldlonplateletshapespreadingandmigrationinvestigatedwithdeeplearningplateletmorphometry AT meinradgawaz effectofoxidizedldlonplateletshapespreadingandmigrationinvestigatedwithdeeplearningplateletmorphometry AT tilmaneschaffer effectofoxidizedldlonplateletshapespreadingandmigrationinvestigatedwithdeeplearningplateletmorphometry |
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